Determining the Best Location of Cash Recycle Machine using Simple Additive Weighting Method

Abstract

CRM as a new technology in the present, is projected as a replacement for ATM in the future and is expected to increase efficiency by reducing charging operational costs and providing money for ATMs. Currently the spread of CRM is not as much as the location of ATMs because the price is more than three times the price of the ATM. This study aims to help decision makers in choosing the best CRM location from existing ATM locations. This study applies the Simple Weighting Additive (SAW) method using productive existing ATM data in Bandung, which is a productive ATM and located in offices. From the calculation by referring to the criteria for the average number of ATM transactions, the distance to the market or shops, the distance to the cash manager branch office, the number of Brilink agents around the location and the level of location security, the best locations to be placed for CRM are obtained through an effective calculation and right that can help facilitate decision makers.